GLM 5.2 vs Qwen 3.7 Plus
Z.ai · China | Alibaba · China · Updated June 2026
Quick verdict
Pick GLM 5.2 for long-horizon agentic coding or project-level software engineering. Pick Qwen 3.7 Plus for reading screens and interacting with guis or generating code from visual references. Choose GLM 5.2 if you need self-hosting or data privacy; Qwen 3.7 Plus if you want a managed API.
GLM 5.2 (Z.ai) and Qwen 3.7 Plus (Alibaba) are two of the models people most often weigh against each other in 2026. GLM 5.2 is an open-weight reasoning model built for long-horizon coding and multi-step agent workflows — strong and cheap. Qwen 3.7 Plus is alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end. They diverge most on price and open vs. closed weights — each quantified below from the models' real specs.
Key differences at a glance
- ▸Price: Qwen 3.7 Plus is about 3.5× cheaper on input ($0.4/$1.6 per 1M tokens vs $1.4/$4.4 per 1M tokens) — meaningful once you are processing millions of tokens a month.
- ▸Context window: both advertise 1M (~1,500 pages). Tie on paper — test on your own long inputs, since usable recall varies by model.
- ▸Recency: GLM 5.2 is the newer model by about 15 days (released June 16, 2026), usually meaning fresher training data and capabilities.
Side-by-side specs
| Spec | GLM 5.2 | Qwen 3.7 Plus |
|---|---|---|
| Provider | Z.ai (China) | Alibaba (China) |
| Released | June 16, 2026 | June 1, 2026 |
| Context window | 1M (~1,500 pages) | 1M (~1,500 pages) |
| Price (in/out) | $1.4/$4.4 per 1M tokens | $0.4/$1.6 per 1M tokens |
| Open weight? | Yes — self-hostable | No — API only |
| Modalities | text, code | text, image, video, code |
| SWE-Bench Verified | Not published | Not published |
| MRCR v2 @ 1M | Not published | Not published |
Who wins what
Long-horizon agentic coding
GLM 5.2
An open-weight reasoning model built for long-horizon coding and multi-step agent workflows — strong and cheap — and its weights are open while Qwen 3.7 Plus is API-only.
Project-level software engineering
GLM 5.2
An open-weight reasoning model built for long-horizon coding and multi-step agent workflows — strong and cheap — and it is the newer of the two.
Tool use across long-running tasks
GLM 5.2
GLM 5.2 lists tool use across long-running tasks among its strengths; Qwen 3.7 Plus does not.
Reading screens and interacting with GUIs
Qwen 3.7 Plus
Alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end — and it runs cheaper at $0.4/$1.6 per 1M tokens.
Generating code from visual references
Qwen 3.7 Plus
Qwen 3.7 Plus lists generating code from visual references among its strengths; GLM 5.2 does not.
Agentic tool use, verification, and autonomous iteration
Qwen 3.7 Plus
Qwen 3.7 Plus lists agentic tool use, verification, and autonomous iteration among its strengths; GLM 5.2 does not.
Lowest cost at scale
Qwen 3.7 Plus
At $0.4/$1.6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.
Which should you pick?
A cost-sensitive startup shipping high volume
→ Qwen 3.7 Plus
At $0.4/$1.6 per 1M tokens it undercuts GLM 5.2, and on millions of tokens that margin decides the monthly bill.
A team with data-privacy or self-hosting needs
→ GLM 5.2
Open weights let you run it on your own hardware; Qwen 3.7 Plus is API-only.
Anyone whose priority is long-horizon agentic coding
→ GLM 5.2
It is specifically built for that.
Anyone whose priority is reading screens and interacting with guis
→ Qwen 3.7 Plus
That is its strongest area.
GLM 5.2: where it fits
An open-weight reasoning model built for long-horizon coding and multi-step agent workflows — strong and cheap. Released June 16, 2026 by Z.ai, it is built for long-horizon agentic coding, project-level software engineering, tool use across long-running tasks, and tops the open-weight intelligence index (SWE-bench Pro 62.1).
Its trade-offs are real: text-only — no native multimodal input, and new release with a limited third-party track record. At $1.4 in / $4.4 out per million tokens, it sits in the mid price band.
Qwen 3.7 Plus: where it fits
Alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end. Released June 1, 2026 by Alibaba, it is built for reading screens and interacting with GUIs, generating code from visual references, agentic tool use, verification, and autonomous iteration, and cost-effective vision-language processing at 1M context.
Its trade-offs: proprietary and API-only, with no downloadable weights, and outputs text only, no image, audio, or video generation. At $0.4 in / $1.6 out per million tokens, it sits in the budget price band.
The bottom line for this matchup
The defining split here is open vs. closed. GLM 5.2 gives you weights you control — self-host it, fine-tune it, keep data in-house, pay only for hardware. Qwen 3.7 Plus gives you a managed, always-updated API with no infrastructure to run. Teams with GPUs, privacy requirements, or huge volume often favour the open model; teams that want zero ops and the latest capabilities favour the closed one. Capability is close enough that this operational question, not the benchmark, usually decides it.
Want both GLM 5.2 and Qwen 3.7 Plus without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.
See pricingFrequently asked questions
Is GLM 5.2 or Qwen 3.7 Plus better for coding?
Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, GLM 5.2 leans toward long-horizon agentic coding while Qwen 3.7 Plus leans toward reading screens and interacting with guis, and that positioning usually predicts which feels better on your codebase.
Which is cheaper, GLM 5.2 or Qwen 3.7 Plus?
GLM 5.2 is open-weight, so self-hosting means no per-token fee (you pay for hardware instead), while Qwen 3.7 Plus is API-metered at $0.4/$1.6 per 1M tokens. For most teams without GPUs, the API model is cheaper to start; at very high volume, self-hosting can win.
Which has the bigger context window?
Both advertise 1M (~1,500 pages). Remember advertised ≠ usable: recall typically degrades before the ceiling.
Can I use both GLM 5.2 and Qwen 3.7 Plus together?
Yes — a multi-model platform like LumiChats gives you GLM 5.2, Qwen 3.7 Plus and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.
Which is newer, GLM 5.2 or Qwen 3.7 Plus?
GLM 5.2 — released June 16, 2026, about 15 days after Qwen 3.7 Plus.
Related comparisons
Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.